quantitative modeling of chronic myeloid leukemia: insights from radiobiology by tomas...
TRANSCRIPT
![Page 1: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/1.jpg)
Quantitative modeling of chronic myeloid leukemia: insights from radiobiology
by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs
BloodVolume 119(19):4363-4371
May 10, 2012
©2012 by American Society of Hematology
![Page 2: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/2.jpg)
Cell population dynamic CML models.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
![Page 3: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/3.jpg)
TKI discontinuation possibilities illustrate deterministic versus stochastic modeling differences.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
![Page 4: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/4.jpg)
CML latency time T. T is here considered as a random variable, that is, a quantity described by a probability density because it may fluctuate from case to case in a way not (yet) fully predictable.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
![Page 5: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/5.jpg)
Atomic bomb survivor waiting times.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
![Page 6: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/6.jpg)
Age dependence of background CML incidence and translocation prevalence.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
![Page 7: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/7.jpg)
CML incidence versus age at radiation exposure for different dose groups.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology
![Page 8: Quantitative modeling of chronic myeloid leukemia: insights from radiobiology by Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, and Rainer K. Sachs Blood](https://reader036.vdocuments.us/reader036/viewer/2022062517/56649f145503460f94c28c10/html5/thumbnails/8.jpg)
Proximity effects.
Tomas Radivoyevitch et al. Blood 2012;119:4363-4371
©2012 by American Society of Hematology